Quasi-Isotonic Regression and Stochastic Approximation.
V. Dupac (1987)
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V. Dupac (1987)
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Alain Le Breton, Alexander Novikov (1995)
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Marius Iosifescu (1985)
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Václav Dupač, Vladimir V. Ivanov (1977)
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Tomasz Górecki (2005)
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When we apply stacked regression to classification we need only discriminant indices which can be negative. In many situations, we want these indices to be positive, e.g., if we want to use them to count posterior probabilities, when we want to use stacked regression to combining classification. In such situation, we have to use leastsquares regression under the constraint βₖ ≥ 0, k = 1,2,...,K. In their earlier work [5], LeBlanc and Tibshirani used an algorithm given in [4]. However,...
Pavel Boček, Miroslav Šiman (2016)
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Although many words have been written about two recent directional (regression) quantile concepts, their applications, and the algorithms for computing associated (regression) quantile regions, their software implementation is still not widely available, which, of course, severely hinders the dissemination of both methods. Wanting to partly fill in the gap here, we provide all the codes needed for computing and plotting the multivariate (regression) quantile regions in Octave and MATLAB,...
El Sayed Sorour (1978)
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